Multimodal Deep Learning based Framework for Detecting Depression and Suicidal Behaviour by Affective Analysis of Social Media Posts

Multimodal Deep Learning based Framework for Detecting Depression and Suicidal Behaviour by Affective Analysis of Social Media Posts

INTRODUCTION AND OBJECTIVES: Currently, no social media platform has deployed a real time system which can analyse users’ state of mind based on day to day posts on continual basis and detect the onset of depression, suicidal or self harming behaviour etc. Platforms majorly rely on manual reporting...

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Bibliographic Details
Main Authors: Anshu Malhotra, Rajni Jindal
Format: Article
Language:English
Published: European Alliance for Innovation (EAI) 2020-05-01
Series:EAI Endorsed Transactions on Pervasive Health and Technology
Subjects:
multimodal deep learning
social media analysis
user generated content
mental health
depression
suicidal and self harming behaviour
psychology
Online Access:https://eudl.eu/pdf/10.4108/eai.13-7-2018.164259

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https://eudl.eu/pdf/10.4108/eai.13-7-2018.164259

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